<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Health Science Monitor</title>
<title_fa>Health Science Monitor</title_fa>
<short_title>Health Science Monitor</short_title>
<subject>Basic Sciences</subject>
<web_url>http://hsm.umsu.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn></journal_id_issn>
<journal_id_issn_online>2980-8723</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/hsm</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>9104634</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1401</year>
	<month>5</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2022</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<volume>1</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Modeling the survival of patients with tuberculosis based on the model of artificial neural networks</title>
	<subject_fa>عمومى</subject_fa>
	<subject>General</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Background &amp; Aims&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;: &lt;/span&gt;&lt;/b&gt;&amp;nbsp;&lt;span style=&quot;font-size:9.0pt&quot;&gt;The development of treatment methods and increasing the survival of patients with tuberculosis (TB) has led to the complication of relationships between independent and dependent variables associated with this disease. Therefore, it is important to use new methods to model the TB process that can accurately estimate the current situation. This study aimed to model the survival of patients with tuberculosis based on the model of perceptron artificial multilayer neural network (MLP-ANN).&lt;/span&gt;&lt;span dir=&quot;RTL&quot; style=&quot;font-size:9.0pt&quot; lang=&quot;FA&quot;&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Materials and&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt; &lt;i&gt;Methods&lt;/i&gt;:&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt; In this retrospective cohort study, the data was collected from 2366 TB patients who were treated in Dr. Masih Daneshvari Hospital in Tehran from 2005 to 2015. To model the predictive power of survival in TB patients, an MLP-ANN model consisting of three layers was applied.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Results&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;:&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt; The results of this study showed that based on the MLP-ANN model, the correct predictive power of survival in TB patients is 88.4%. In this study, the variables of patients&amp;#39; age and family size as very effective variables also variables of patients&amp;rsquo; gender, marital status, education, adverse drug effects, exposure to cigarette smoke, imprisonment, pulmonary tuberculosis, and AIDS as effective variables in predicting the survival of patients were diagnosed.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:16.0pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;&lt;b&gt;&lt;i&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;Conclusion&lt;/span&gt;&lt;/i&gt;&lt;/b&gt;&lt;b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt;:&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-size:9.0pt&quot;&gt; In the model of artificial neural networks, no restrictions are considered for the data structure and the type of relationship between variables. Therefore, these models with their flexibility and high accuracy can be one of the best methods for modeling health data.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Perceptron artificial neural network, Survival, Tuberculosis, Modeling</keyword>
	<start_page>64</start_page>
	<end_page>73</end_page>
	<web_url>http://hsm.umsu.ac.ir/browse.php?a_code=A-10-76-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mehdi</first_name>
	<middle_name></middle_name>
	<last_name>Kazempour Dizaji</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001493</code>
	<orcid>10031947532846001493</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Majid</first_name>
	<middle_name></middle_name>
	<last_name>Marjani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001494</code>
	<orcid>10031947532846001494</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Payam</first_name>
	<middle_name></middle_name>
	<last_name>Tabarsi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001495</code>
	<orcid>10031947532846001495</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammad</first_name>
	<middle_name></middle_name>
	<last_name>Varahram</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001496</code>
	<orcid>10031947532846001496</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Ali</first_name>
	<middle_name></middle_name>
	<last_name>Zare</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001497</code>
	<orcid>10031947532846001497</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD) , Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammad Ali</first_name>
	<middle_name></middle_name>
	<last_name>Emamhadi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001498</code>
	<orcid>10031947532846001498</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department Forensic Medicine, School of Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Rahim</first_name>
	<middle_name></middle_name>
	<last_name>Roozbahani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001499</code>
	<orcid>10031947532846001499</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Atefe</first_name>
	<middle_name></middle_name>
	<last_name>Abedini</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001500</code>
	<orcid>10031947532846001500</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Parvane</first_name>
	<middle_name></middle_name>
	<last_name>h Baghaei Shiva</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001501</code>
	<orcid>10031947532846001501</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Afshin</first_name>
	<middle_name></middle_name>
	<last_name>Moniri</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001502</code>
	<orcid>10031947532846001502</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohammadreza</first_name>
	<middle_name></middle_name>
	<last_name>Madani</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mkazempour@sbmu.ac.ir</email>
	<code>10031947532846001503</code>
	<orcid>10031947532846001503</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
